Cloud Data Engineer – GCP Pipelines & Analytics

Winning; Madrid; Hybrid; EUR 42,000 - 66,000; Full time

Job summary

Kyndryl is seeking a Data Engineer to join its ADAI practice, focusing on building scalable cloud-native data platforms on Google Cloud Platform. The role emphasizes data pipelines, analytics, and AI-ready data solutions in enterprise contexts.

Ideal candidates will have 3+ years in data engineering, strong SQL/Python, and hands-on GCP experience. A hybrid, flexible culture supports growth and collaboration across teams.

Qualifications

• 3+ years of experience as a Data Engineer or similar role.
• Hands-on experience with Google Cloud Platform services such as BigQuery, Cloud Storage, Dataflow, Pub/Sub, Composer, and Dataproc.
• Strong SQL and Python programming skills.
• Experience developing ETL/ELT pipelines and distributed data processing solutions.
• Knowledge of data warehousing concepts and dimensional modeling.
• Spanish and English fluid level.

Responsibilities

• Design, develop, and maintain scalable ETL/ELT pipelines on Google Cloud Platform.
• Build and optimize data ingestion, transformation, and processing workflows for batch and real-time data.
• Develop and maintain data models supporting analytics, reporting, and AI initiatives.
• Implement data quality validation, monitoring, and governance controls.
• Collaborate with architects and business stakeholders to translate requirements into technical solutions.
• Support orchestration, automation, and operationalization of data pipelines.

Skills

SQL

Python

Data engineering

Tools

BigQuery

Cloud Storage

Dataflow

Pub/Sub

Composer

Dataproc

dbt

Spark

Kafka

Terraform

Docker

Looker

Power BI

Job description

Kyndryl is seeking a Data Engineer to join its ADAI practice, focusing on building scalable cloud-native data platforms on Google Cloud Platform. The role emphasizes data pipelines, analytics, and AI-ready data solutions in enterprise contexts.

Ideal candidates will have 3+ years in data engineering, strong SQL/Python, and hands-on GCP experience. A hybrid, flexible culture supports growth and collaboration across teams.